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Supplementary Information: “Extracting the interdisciplinary specialty structures in social media data-based research: A clustering-based network approach”

Date

2022

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Abstract

In this Supplementary Information, we provide the additional analyses of authors and detail the results for network analysis that we present in the paper. The weighted network is generally represented as a graph G = (V, E, 𝜔) with a weight 𝜔 assigned to each edge, where V is the graph's vertex set, and E is the edge set. We assume that G is a simple undirected graph with no multiple edges or loops, and edges have no orientations.
S1 Author-level analysis
S2 Comparison of the two network filtering techniques
S3 Network statistics
S4 The disciplinary composition of clusters in the networks

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Keywords

bibliometrics, Interdisciplinarity, Microsoft Academic Graph, Network science, social media data, Web of Science

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Except where otherwised noted, this item's license is described as open access